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<div class="contents">
&#160;

<h3><a id="index_a"></a>- a -</h3><ul>
<li>axis_
: <a class="el" href="classcaffe_1_1ReductionLayer.html#ac42612a3e9d6fadcb2a57041595033bf">caffe::ReductionLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_b"></a>- b -</h3><ul>
<li>blob_loss_weights_
: <a class="el" href="classcaffe_1_1Net.html#a3eef6ff47640210c6d8d6affb1fd86f8">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>blobs_
: <a class="el" href="classcaffe_1_1Layer.html#a8073fcf2c139b47eb99ce71b346b1321">caffe::Layer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1Net.html#ab033c0574fcbf1e67e22b9682677c64d">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>bottom_vecs_
: <a class="el" href="classcaffe_1_1Net.html#ac5bf2007047f749d9d111b0dfa220afc">caffe::Net&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_c"></a>- c -</h3><ul>
<li>coeff_
: <a class="el" href="classcaffe_1_1ReductionLayer.html#a7aeb19ec25f01d4df995ba2122fbfeb3">caffe::ReductionLayer&lt; Dtype &gt;</a>
</li>
<li>col_buffer_shape_
: <a class="el" href="classcaffe_1_1BaseConvolutionLayer.html#a9dd3f4ea6e17fe155efe537c120a3de4">caffe::BaseConvolutionLayer&lt; Dtype &gt;</a>
</li>
<li>concat_bottom_vec_
: <a class="el" href="classcaffe_1_1SPPLayer.html#a2874ca5b0c4d8f7d970c5a30768d2bc0">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>concat_layer_
: <a class="el" href="classcaffe_1_1SPPLayer.html#a02a9d50a48983fa0c6e42cafa85c1eb8">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>constant_count_
: <a class="el" href="classcaffe_1_1ReshapeLayer.html#abbb071bc8398e2b0442302e51c644c28">caffe::ReshapeLayer&lt; Dtype &gt;</a>
</li>
<li>conv_input_shape_
: <a class="el" href="classcaffe_1_1BaseConvolutionLayer.html#a63756d6ef00f6491939e539094c21397">caffe::BaseConvolutionLayer&lt; Dtype &gt;</a>
</li>
<li>copy_axes_
: <a class="el" href="classcaffe_1_1ReshapeLayer.html#ace08e8747c8d4562fbc26ca789681a4a">caffe::ReshapeLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_d"></a>- d -</h3><ul>
<li>debug_info_
: <a class="el" href="classcaffe_1_1Net.html#addc4e5501070ede24155d4c1bf9928a2">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>diff_scale_
: <a class="el" href="classcaffe_1_1PowerLayer.html#aa83169eaa1b573137aa6ed2b526879f0">caffe::PowerLayer&lt; Dtype &gt;</a>
</li>
<li>dilation_
: <a class="el" href="classcaffe_1_1BaseConvolutionLayer.html#a91f929109b5c05ba6086d4c2a741ad4a">caffe::BaseConvolutionLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1Im2colLayer.html#a3420f6068a4befb3b0ed1ffe5ff0e84c">caffe::Im2colLayer&lt; Dtype &gt;</a>
</li>
<li>dim_
: <a class="el" href="classcaffe_1_1ReductionLayer.html#a5d0cdd8ca00e6bbd425a51bef2214a7e">caffe::ReductionLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_e"></a>- e -</h3><ul>
<li>expose_hidden_
: <a class="el" href="classcaffe_1_1RecurrentLayer.html#abfafaacb1fece0309e750e0d307fb76e">caffe::RecurrentLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_f"></a>- f -</h3><ul>
<li>flatten_layers_
: <a class="el" href="classcaffe_1_1SPPLayer.html#a765c32194d96177869e2b9028b1ff0d4">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>flatten_outputs_
: <a class="el" href="classcaffe_1_1SPPLayer.html#afd42f96c91f26fe32427865a16796503">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>flatten_top_vecs_
: <a class="el" href="classcaffe_1_1SPPLayer.html#a7460ba8ed098335de91cd8cab363d365">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_h"></a>- h -</h3><ul>
<li>has_ignore_label_
: <a class="el" href="classcaffe_1_1AccuracyLayer.html#a4acdfaf6db79fbe1983b8439391ad15e">caffe::AccuracyLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1InfogainLossLayer.html#a421720fc0f85daf8b6b7808719b1f9e8">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#a7e2ebf45542532439096caaec42a2a85">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#ad77bc32fa576ad025102d29acf79aefb">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
<li>hidden_dim_
: <a class="el" href="classcaffe_1_1LSTMUnitLayer.html#a7ffcad2a4e6ca83f03cc88dffa32b7ca">caffe::LSTMUnitLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_i"></a>- i -</h3><ul>
<li>ignore_label_
: <a class="el" href="classcaffe_1_1AccuracyLayer.html#a2b8c2d647f43ffd6aa14e81f1c5b2bde">caffe::AccuracyLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1InfogainLossLayer.html#ad3f7c2efdf32f99510186495ba7c5cff">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#ab99d98ce823df6c90cd4c3cf8b0a793f">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#a117d31c7ac538dd7851fb493bfc75d95">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
<li>inferred_axis_
: <a class="el" href="classcaffe_1_1ReshapeLayer.html#a41111d585f1a9a64fd774ca1bf7d4160">caffe::ReshapeLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_k"></a>- k -</h3><ul>
<li>kernel_shape_
: <a class="el" href="classcaffe_1_1BaseConvolutionLayer.html#a0a2f112eec8a7cbd13888185d4fb36b0">caffe::BaseConvolutionLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1Im2colLayer.html#a188e9ea1225c7f373f4d50e2a78dcec7">caffe::Im2colLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_l"></a>- l -</h3><ul>
<li>last_layer_index_
: <a class="el" href="classcaffe_1_1RecurrentLayer.html#a0a7a7d94ed74d4199b9d7b8445d5aadb">caffe::RecurrentLayer&lt; Dtype &gt;</a>
</li>
<li>layer_param_
: <a class="el" href="classcaffe_1_1Layer.html#a7ed12bb2df25c887e41d7ea9557fc701">caffe::Layer&lt; Dtype &gt;</a>
</li>
<li>layers_
: <a class="el" href="classcaffe_1_1Net.html#ab9e30392aa01dcf182d1a5cbd34ec45e">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>learnable_param_ids_
: <a class="el" href="classcaffe_1_1Net.html#adf8dfb59e46d62c9333f322cea631bd8">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>loss_
: <a class="el" href="classcaffe_1_1Layer.html#af6d347229a139500994e7a926c680486">caffe::Layer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_m"></a>- m -</h3><ul>
<li>memory_used_
: <a class="el" href="classcaffe_1_1Net.html#a84349f399faa4246f8395e63c9334d56">caffe::Net&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_n"></a>- n -</h3><ul>
<li>N_
: <a class="el" href="classcaffe_1_1RecurrentLayer.html#a4bf3c3a87b2a740987aec46e40717907">caffe::RecurrentLayer&lt; Dtype &gt;</a>
</li>
<li>name_
: <a class="el" href="classcaffe_1_1Net.html#aef7021f31e355ab8f8991755125f6b2b">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>net_input_blob_indices_
: <a class="el" href="classcaffe_1_1Net.html#a083a9a4c3919721c833b53d5571a7400">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>normalization_
: <a class="el" href="classcaffe_1_1InfogainLossLayer.html#ab7fe88c996d31d67f5e13fc0ffc803c2">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#ad4e3c7105f896bd7792e53ef3a0a2dd8">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#a4b1fa348fc885339931f132573467b81">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
<li>num_
: <a class="el" href="classcaffe_1_1ReductionLayer.html#a7c336b1554118959a13cecfd9701998e">caffe::ReductionLayer&lt; Dtype &gt;</a>
</li>
<li>nums_buffer_
: <a class="el" href="classcaffe_1_1AccuracyLayer.html#a9acf4fa826e787fe64a55bcd2c62e66c">caffe::AccuracyLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_o"></a>- o -</h3><ul>
<li>op_
: <a class="el" href="classcaffe_1_1ReductionLayer.html#aa65f46eaf24eca2948592bcb9e127346">caffe::ReductionLayer&lt; Dtype &gt;</a>
</li>
<li>output_shape_
: <a class="el" href="classcaffe_1_1BaseConvolutionLayer.html#af0892b61454ba086c4c74b78d910bf31">caffe::BaseConvolutionLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_p"></a>- p -</h3><ul>
<li>pad_
: <a class="el" href="classcaffe_1_1BaseConvolutionLayer.html#a897ead2823e9031863e2151e71229e35">caffe::BaseConvolutionLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1Im2colLayer.html#a55c335fac2a25ba438a8bf94497c53ec">caffe::Im2colLayer&lt; Dtype &gt;</a>
</li>
<li>param_propagate_down_
: <a class="el" href="classcaffe_1_1Layer.html#acd4a05def9ff3b42ad72404210613ef7">caffe::Layer&lt; Dtype &gt;</a>
</li>
<li>params_
: <a class="el" href="classcaffe_1_1Net.html#accf52332675952dd27dfc8d3c27fa583">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>params_lr_
: <a class="el" href="classcaffe_1_1Net.html#aeb1f85c97372f57336e4e1af3eb7b9db">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>params_weight_decay_
: <a class="el" href="classcaffe_1_1Net.html#ad337cf5b16e69533f605dbe1f6932bc9">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>phase_
: <a class="el" href="classcaffe_1_1Layer.html#a1d04ad7f595a82a1c811f102d68b8a19">caffe::Layer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1Net.html#a1fe921a602b4f96602702a13ad605693">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>pooling_bottom_vecs_
: <a class="el" href="classcaffe_1_1SPPLayer.html#a2c9e8e5e918431ccc43e8578419357c9">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>pooling_layers_
: <a class="el" href="classcaffe_1_1SPPLayer.html#a4cde4ff418007bcbdd34f91c6abbea1f">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>pooling_outputs_
: <a class="el" href="classcaffe_1_1SPPLayer.html#aed09b8f30c285651c726ac7ca186f93f">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>pooling_top_vecs_
: <a class="el" href="classcaffe_1_1SPPLayer.html#a4bddcb27cbc0e9e2d153d134d5f9d760">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>power_
: <a class="el" href="classcaffe_1_1PowerLayer.html#a882ce133988e4dd72a10d87fec4c04c3">caffe::PowerLayer&lt; Dtype &gt;</a>
</li>
<li>prob_
: <a class="el" href="classcaffe_1_1InfogainLossLayer.html#a4ae881c2950ca84a50b0f964797defd6">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#a02669f20097006452d877ea05e98b775">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_r"></a>- r -</h3><ul>
<li>rand_vec_
: <a class="el" href="classcaffe_1_1DropoutLayer.html#a7a2c28420611a960a964e56acdbe2b47">caffe::DropoutLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_s"></a>- s -</h3><ul>
<li>scale_
: <a class="el" href="classcaffe_1_1DropoutLayer.html#ac8702c053de0fea389f5a0ded8cdc544">caffe::DropoutLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1PowerLayer.html#a6684b2c6c2b2047d58c9d2809b86c39c">caffe::PowerLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxLayer.html#a22a5348d7a31c512ac9d5dcfc066d4b1">caffe::SoftmaxLayer&lt; Dtype &gt;</a>
</li>
<li>shift_
: <a class="el" href="classcaffe_1_1PowerLayer.html#a3a3143c4d6735d12cb5a41b1cb623bc9">caffe::PowerLayer&lt; Dtype &gt;</a>
</li>
<li>sigmoid_bottom_vec_
: <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#a52c3183799d44aa9e581992aee502409">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
</li>
<li>sigmoid_layer_
: <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#a69e0c8d2106b4b06c7c896e3069f531c">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
</li>
<li>sigmoid_output_
: <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#a1eb4c2e90dd4807dbfb0806a411a7bea">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
</li>
<li>sigmoid_top_vec_
: <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#af6719c9685fcf910129db20cceb47be5">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
</li>
<li>softmax_bottom_vec_
: <a class="el" href="classcaffe_1_1InfogainLossLayer.html#ad919452e3fbb182cf56ded1e32ee001d">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#aa39f89b673da5e6f86c6b1f79ced1270">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
<li>softmax_layer_
: <a class="el" href="classcaffe_1_1InfogainLossLayer.html#a1992ffcac64ab6d61ebce80c7d9e8405">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#a886b9e8c044917b03e7d2d04e713a05b">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
<li>softmax_top_vec_
: <a class="el" href="classcaffe_1_1InfogainLossLayer.html#abce0ff34e57ed3660e39633535c97e41">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#a0fd219e185b46acce8fd74cb71dabf44">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
<li>split_layer_
: <a class="el" href="classcaffe_1_1SPPLayer.html#a9312cb2eb190ce25d9269d9319cf5e4b">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>split_top_vec_
: <a class="el" href="classcaffe_1_1SPPLayer.html#aa4c2a009d84367e72b98b3b8542e3a0f">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>static_input_
: <a class="el" href="classcaffe_1_1RecurrentLayer.html#a7da45d2f90a99fe6e4250ffa6a533d97">caffe::RecurrentLayer&lt; Dtype &gt;</a>
</li>
<li>stride_
: <a class="el" href="classcaffe_1_1BaseConvolutionLayer.html#af638d3d8e67c33443cb11cb000368e73">caffe::BaseConvolutionLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1Im2colLayer.html#afb9baa8216b65a8124d4d1d2b719da0f">caffe::Im2colLayer&lt; Dtype &gt;</a>
</li>
<li>sum_multiplier_
: <a class="el" href="classcaffe_1_1MVNLayer.html#ade50bbee48a55e637e8c3e3f44f9618a">caffe::MVNLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1ReductionLayer.html#a141288e2904ab45831a6af704561b473">caffe::ReductionLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxLayer.html#a3bfc4000b464ab32c73060a2d5c4e426">caffe::SoftmaxLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_t"></a>- t -</h3><ul>
<li>T_
: <a class="el" href="classcaffe_1_1RecurrentLayer.html#a02f79bca0ccde7543ecf172b328c860f">caffe::RecurrentLayer&lt; Dtype &gt;</a>
</li>
<li>threshold_
: <a class="el" href="classcaffe_1_1DropoutLayer.html#a8e9d88e6128a97101c27ce8a11158ca6">caffe::DropoutLayer&lt; Dtype &gt;</a>
</li>
<li>top_vecs_
: <a class="el" href="classcaffe_1_1Net.html#aa834096a02382d9a881bf33694e72564">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>transpose_
: <a class="el" href="classcaffe_1_1InnerProductLayer.html#a3d881acc0f3bbfb2edb37576592d5c14">caffe::InnerProductLayer&lt; Dtype &gt;</a>
</li>
</ul>


<h3><a id="index_u"></a>- u -</h3><ul>
<li>unrolled_net_
: <a class="el" href="classcaffe_1_1RecurrentLayer.html#aa9b6cb6658e3bc8bfdf39441e751919a">caffe::RecurrentLayer&lt; Dtype &gt;</a>
</li>
</ul>
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